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Manager Meta Ai Jobs in Florida (NOW HIRING)

Digital Marketing Manager - Americas

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Google's AI-driven bidding, LinkedIn audience expansion, Meta Advantage+) and adapt strategies ... Manage and coordinate with Appspace's external SEO agency-set deliverables, hold the agency ...

Digital Marketing Manager - Americas

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Google's AI-driven bidding, LinkedIn audience expansion, Meta Advantage+) and adapt strategies ... Manage and coordinate with Appspace's external SEO agency-set deliverables, hold the agency ...

Meta's Global Business Group is looking for a Client Solutions Manager to support advertisers in ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

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Meta Ads Specialist

Fort Lauderdale, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ABOUT RYZE AGENCY Ryze Agency is a fast-growing boutique digital marketing agency managing a ... Work alongside AI-powered media tools, know when to trust them and when to step in * Partner with ...

... for an AI enabling infrastructure campus, Mega Campus (1 GW+), of unprecedented scale and of ... Meta that will manage invoicing, commitments, financial reporting, and commercial management for ...

Meta is seeking a Regional Quality Manager to join our Data Center Design, Engineering ... emerging AI technologies About Meta: Meta builds technologies that help people connect, find ...

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... Meta, Reddit, X), display, Adroll, YouTube/video, programmatic, and out-of-home (OOH/DOOH)

Account Manager, COOL AI

Miami, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Powered by COOL AI, our intelligent platform unifies creative generation, media activation ... Experience with Meta Ads Manager Data & Reporting Tools * Intermediate to Advanced skills in ...

Deployment Strategist (Tampa)

Tampa, FL · On-site

$77K - $89K/yr

You'll design agent workflows, manage the build process, handle integrations, and ensure ... AI pioneers from Google, Meta, Microsoft, NVIDIA alongside physicians and hospital leaders from ...

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Manager Meta Ai information

What does a manager at Meta AI do?

A Manager Meta AI oversees teams that develop and implement artificial intelligence solutions at Meta (formerly Facebook). They are responsible for guiding AI strategy, managing projects, and ensuring the successful deployment of AI technologies across Meta's products and services. This role involves collaborating with engineers, researchers, and stakeholders to achieve business goals while maintaining ethical standards in AI development. Additionally, the Manager Meta AI monitors industry trends and helps shape the company's AI roadmap.

What are the key skills and qualifications needed to thrive as a manager at Meta AI?

To thrive as a Manager at Meta AI, you need a strong background in computer science or a related field, experience managing technical teams, and a deep understanding of artificial intelligence and machine learning concepts. Familiarity with tools like Python, TensorFlow, PyTorch, and experience with large-scale data systems or cloud platforms is typically expected. Excellent leadership, collaboration, and communication skills are crucial for motivating teams and driving cross-functional projects. These skills ensure that teams can innovate effectively, execute complex AI initiatives, and align with Meta's strategic goals.

What are some common challenges faced by a manager at Meta AI, and how can they be addressed?

A Manager in Meta AI often encounters challenges such as aligning cross-functional teams, balancing innovative research with business objectives, and managing rapidly evolving technologies. Effective communication and setting clear expectations help bridge gaps between researchers, engineers, and product teams. Additionally, staying current with AI advancements and fostering a collaborative, adaptable culture are key to successfully leading teams through complex projects and constant change.

What is the difference between Manager Meta Ai vs Data Scientist?

AspectManager Meta AiData Scientist
Primary RoleOversees AI projects, manages teams, and aligns AI strategies with business goalsAnalyzes data, develops models, and extracts insights to inform decision-making
Required SkillsLeadership, project management, AI knowledge, communication skillsStatistical analysis, programming, machine learning, data visualization
Typical EnvironmentTech companies, AI startups, large enterprises with AI initiativesResearch labs, tech firms, data-driven industries
CertificationsAI certifications, management courses, relevant degreesData science certifications, programming credentials, advanced degrees in related fields

While both roles involve AI, the Manager Meta Ai focuses on leading AI projects and teams, whereas the Data Scientist concentrates on analyzing data and building models. The manager oversees strategy and execution, while the data scientist provides technical expertise and insights.

What are the most commonly searched types of Meta Ai jobs in Florida?

The most popular types of Meta Ai jobs in Florida are:

What are popular job titles related to Manager Meta Ai jobs in Florida?

For Manager Meta Ai jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Manager Meta Ai jobs?

Cities in Florida with the most Manager Meta Ai job openings:

Digital Marketing Manager - Americas

Appspace

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Your Role as a Digital Marketing Manager:

We're looking for a performance-obsessed Digital Marketing Manager to own and scale Appspace's paid media engine. Paid media is the primary mandate of this role-you will control significant advertising budgets across search, social, and display channels, and be held accountable for pipeline contribution and ROAS. Beyond paid, you'll help optimize our website for conversion and AI-engine discoverability, and partner cross-functionally to ensure every dollar of digital spend is tied directly to revenue outcomes.

This is not a generalist role. The right candidate lives in campaign dashboards, obsesses over cost-per-opportunity, and knows how to scale what's working while ruthlessly cutting what isn't.

A Day in the Life of a Digital Marketing Manager:

  1. Own and Optimize Paid Media Programs 

Paid media performance is the core metric by which this role is measured. You will:

  • Manage and allocate multi-channel paid media budgets across Google Ads (Search, Display, P-Max), LinkedIn Campaign Manager, 6sense, and Meta Ads-continuously rebalancing based on pipeline contribution and cost-per-opportunity.
  • Build and maintain always-on advertising programs alongside point-in-time campaign bursts, ensuring consistent pipeline coverage throughout the fiscal year.
  • Develop quarterly paid media plans grounded in buyer persona research, intent data, and competitive analysis; translate strategy into channel-specific execution plans with clear KPIs.
  • Define and own paid media KPIs: CTR, CPC, CPL, cost-per-MQL, cost-per-opportunity, ROAS, and pipeline-influenced revenue. Report weekly to senior leadership.
  • Run structured A/B tests on ad copy, creative, audience segments, bidding strategies, and landing pages; document results and scale winners systematically.
  • Design and test ad creative and copy by leveraging AI generation tools alongside content and design teams-using performance data to drive the next iteration of brand assets.
  • Leverage B2B intent data and account-intelligence platforms (e.g., 6sense, Demandbase, Bombora) to build targeted ABM ad campaigns aligned with Sales outbound targets.
  • Stay current with platform algorithm changes (Google's AI-driven bidding, LinkedIn audience expansion, Meta Advantage+) and adapt strategies proactively.
  1. Optimize Website Performance
  • Measure and monitor the Appspace website's health, performance, and conversion rates; share regular dashboards with marketing leadership and stakeholders.
  • Optimize web content, layout, structure, and UX for both human conversions (CRO) and AI-engine discoverability (SEO/AEO), ensuring Appspace surfaces across both traditional search and AI-powered discovery.
  • Manage and coordinate with Appspace's external SEO agency-set deliverables, hold the agency accountable to results, and integrate SEO insights into paid media and content strategies.
  • Implement and maintain website tracking through Google Tag Manager.
  1. Collaborate Across the Marketing & Revenue Team
  • Feed paid media performance data, search intent trends, and AI-discovery insights back into the content engine-partnering with creative, copywriting, and content teams so messaging continually evolves based on real-time market signals.
  • Work hand-in-hand with Revenue Operations to manage multi-touch attribution models, ensuring all digital spend is mapped to pipeline velocity and closed-won revenue.
  • Support integrated campaigns by handling all paid advertising components: planning, audience building, ad construction, trafficking, and measurement.
  • Contribute to quarterly and annual marketing planning by providing paid media performance data and forward-looking budget recommendations.

What You'll Need:

  • Paid Media Expertise (Required): 5+ years managing substantial B2B SaaS paid media budgets with demonstrable results-specific experience driving pipeline from Google Ads, LinkedIn, and Meta is essential. Please be prepared to share performance results.
  • AI-Augmented Execution: Hands-on use of AI-driven marketing workflows-ad copy generation, audience modeling, bid optimization, and creative testing at scale.
  • Platform Mastery: Expert-level command of Google Ads, LinkedIn Campaign Manager, Meta Ads Manager, GA4, GTM and SFDC reporting.
  • ABM & Intent Data: Practical experience using B2B intent platforms (6sense, Demandbase, or equivalent) to build targeted account-based campaigns in close partnership with Sales.
  • Analytical Rigor: Ability to move beyond surface-level reporting-interpret multi-touch attribution, journey-aware bidding signals, and predictive analytics to make budget decisions with confidence.
  • Web & CRO Fluency: Solid understanding of CMS management, landing page builders (e.g., Unbounce, Webflow), and conversion rate optimization best practices.
  • Revenue Mindset: Comfortable tying digital spend directly to pipeline and closed-won revenue; you speak the language of Sales and RevOps, not just marketing.
  • Adaptability: A bias for action and experimentation in a fast-changing landscape where AI platforms and buyer behaviors shift quickly.

The Perks of Working for Appspace:

For all our US based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, disability coverage, employer paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program.

Additional perks include:

  • Generous PTO
  • Flexible work schedules
  • Remote work opportunities
  • Paid company holidays
  • Appspace Quiet Fridays (No non-essential internal meetings scheduled)
  • A casual dress work environment